mlsanityData to 7 Oct 2026

Toward an automated science of the mind

arXiv 2603.20988 ↗First posted 22 Mar 2026cs.AI q-bio.NCcited by 5

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Abstract (arXiv)

Artificial Intelligence is starting to automate scientific discovery, raising the prospect of an automated science of the mind. We chart this field around four challenges: representing experiments, generating synthetic behavior, synthesizing models, and closing the loop to discover psychological theories.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 3 of its 10 references that are in the map. First posted on arXiv 22 Mar 2026.

Builds on

3 of 10 references.

References · 3

  1. 2023OMNI: Open-endedness via Models of human Notions of Interestingnesscited by 66
  2. 2024Automating the Practice of Science -- Opportunities, Challenges, and Implicationscited by 17
  3. 2025Generating Computational Cognitive Models using Large Language Modelscited by 12

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 5.

5 papers.

  1. 2026Closing the Loop to Discover Psychological Theories with an Automated Cognitive Scientistcited by 6
  2. 2026auto-psych: Automating the science of mind using agent-driven theory discovery and experimentationcited by 4
  3. 2026ATLAS: Active Theory Learning for Automated Sciencecited by 3
  4. 2026Automated Adversarial Collaboration for Advancing Theory Building in the Cognitive Sciencescited by 1
  5. 2026Sparks of In Silico Cognitive Science: Theories from Simulated Data Can Generalize to Humanscited by 0